Thermal infrared hyperspectral dimension reduction experiment results for global and local information based linear discriminant analysis

Author

Sakarya, Ufuk

Author_Institution

TUBITAK UZAY, ODTU Yerleskesi, Ankara, Turkey

fYear

2015

fDate

16-19 May 2015

Firstpage

268

Lastpage

271

Abstract

Thermal infrared hyperspectral image processing has become an important research topic in remote sensing. One of the research topics in thermal infrared hyperspectral image classification is dimension reduction. In this paper, thermal infrared hyperspectral dimension reduction experiment results for global and local information based linear discriminant analysis is presented. Advantages of the use of not only global pattern information, but also local pattern information are tested in thermal infrared hyperspectral image processing.

Keywords

geophysical image processing; image classification; remote sensing; dimension reduction; global pattern information; image classification; linear discriminant analysis; local pattern information; remote sensing; thermal infrared hyperspectral image processing; Data integration; Hyperspectral imaging; Linear discriminant analysis; Pattern recognition; Principal component analysis; Thermal analysis; dimension reduction; linear discriminant analysis; thermal infrared hyperspectral image processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2015 23th

Conference_Location

Malatya

Type

conf

DOI

10.1109/SIU.2015.7129811

Filename

7129811